Anxiety-Related Ai Configuration and Ai Usage Behavior Among Lecturers: Gender's Moderating Role

Aside from providing considerable benefits to individuals, AI can also generate anxiety, especially given its sophistication and the level of intimidation that exists in everyday life. The aim of the paper is to assess the usage behavior of AI, using anxiety-related AI configuration as an exogenous variable and gender as a moderating factor. This study was conducted using a quantitative method with empirical approach, utilizing data from 81 participating Indonesian academics. We used SmartPLS 4.0 and SEM-PLS to conduct this research. The study's findings effectively show that anxiety-related AI configurations significantly influence AI usage behavior in negative interactions (P value <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$=\mathbf{0. 024}$</tex>; original sample <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$=-0.51$</tex>). This study also explained that as worry levels increase, women's efficiency decreases, resulting in a lower aptitude for AI use when compared to men. As their anxiety levels increase, more women consider using artificial intelligence. This study benefits both scholars and the industry by deepening our understanding of behavioral attitudes towards AI use, with a particular focus on gender-based AI users.

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Published
2024-10-17
DOI
https://doi.org/10.1109/ceria64726.2024.10914840
Citations
4
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
2.03
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article

Anxiety-Related Ai Configuration and Ai Usage Behavior Among Lecturers: Gender's Moderating Role

Yuli Kartika Dewi, Henilia Yulita, Ratlan Pardede, Suryo Adi Wibowo et al.
4 citations
Mental Health Research Topics
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article

Anxiety-Related Ai Configuration and Ai Usage Behavior Among Lecturers: Gender's Moderating Role

Yuli Kartika Dewi, Henilia Yulita, Ratlan Pardede, Suryo Adi Wibowo, Michael Christian, Sunarno Sunarno
article en
4 citations

Abstract

Aside from providing considerable benefits to individuals, AI can also generate anxiety, especially given its sophistication and the level of intimidation that exists in everyday life. The aim of the paper is to assess the usage behavior of AI, using anxiety-related AI configuration as an exogenous variable and gender as a moderating factor. This study was conducted using a quantitative method with empirical approach, utilizing data from 81 participating Indonesian academics. We used SmartPLS 4.0 and SEM-PLS to conduct this research. The study's findings effectively show that anxiety-related AI configurations significantly influence AI usage behavior in negative interactions (P value <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$=\mathbf{0. 024}$</tex>; original sample <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$=-0.51$</tex>). This study also explained that as worry levels increase, women's efficiency decreases, resulting in a lower aptitude for AI use when compared to men. As their anxiety levels increase, more women consider using artificial intelligence. This study benefits both scholars and the industry by deepening our understanding of behavioral attitudes towards AI use, with a particular focus on gender-based AI users.

Universiti Sains Malaysia (MY), Krida Wacana Christian University (ID), University of Bunda Mulia (ID), Universitas Tama Jagakarsa (ID)
Gender equality
Openalex Percentile: Top 12%
Mental Health Research Topics
2.03
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